Preprint
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
ArXiv.org
Cornell University
01/30/2024
DOI: 10.48550/arxiv.2401.17434
Abstract
Hackathons and software competitions, increasingly pivotal in the software
industry, serve as vital catalysts for innovation and skill development for
both organizations and students. These platforms enable companies to prototype
ideas swiftly, while students gain enriched learning experiences, enhancing
their practical skills. Over the years, hackathons have transitioned from mere
competitive events to significant educational tools, fusing theoretical
knowledge with real-world problem-solving. The integration of hackathons into
computer science and software engineering curricula aims to align educational
proficiencies within a collaborative context, promoting peer connectivity and
enriched learning via industry-academia collaborations. However, the infusion
of advanced technologies, notably artificial intelligence (AI), and machine
learning, into hackathons is revolutionizing their structure and outcomes. This
evolution brings forth both opportunities, like enhanced learning experiences,
and challenges, such as ethical concerns. This study delves into the impact of
generative AI, examining its influence on student's technological choices based
on a case study on the University of Iowa 2023 event. The exploration provides
insights into AI's role in hackathons, and its educational implications, and
offers a roadmap for the integration of such technologies in future events,
ensuring innovation is balanced with ethical and educational considerations.
Details
- Title: Subtitle
- Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
- Creators
- Ramteja SajjaCarlos Erazo RamirezZhouyayan LiBekir Z DemirayYusuf SermetIbrahim Demir
- Resource Type
- Preprint
- Publication Details
- ArXiv.org
- DOI
- 10.48550/arxiv.2401.17434
- ISSN
- 2331-8422
- Publisher
- Cornell University; Ithaca, New York
- Language
- English
- Date posted
- 01/30/2024
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Injury Prevention Research Center
- Record Identifier
- 9984554826702771
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